Triple
T2315282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grignano |
E51048
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Barcola |
E51506
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Barcola | Statement: [Grignano, near, Barcola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barcola Context triple: [Grignano, near, Barcola]
-
A.
Barcola
chosen
Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
-
B.
Stresa
Stresa is a picturesque resort town on the shores of Lake Maggiore in northern Italy, known for its elegant lakeside promenades, historic villas, and views of the Borromean Islands.
-
C.
Koper
Koper is a coastal city in southwestern Slovenia on the Adriatic Sea, known as the country’s only commercial port and a historic center with Venetian and medieval heritage.
-
D.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
E.
Burano
Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61d41f88190983f8947667b4c7a |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896236f08190b3874854279bbdf7 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.